scDDboost

英文登记说明

scDDboost is an R package to analyze changes in the distribution of single-cell expression data between two experimental conditions. Compared to other methods that assess differential expression, scDDboost benefits uniquely from information conveyed by the clustering of cells into cellular subtypes. Through a novel empirical Bayesian formulation it calculates gene-specific posterior probabilities that the marginal expression distribution is the same (or different) between the two conditions. The implementation in scDDboost treats gene-level expression data within each condition as a mixture of negative binomial distributions.

运行方式

访问原站或下载软件

登记许可

GPL-2.0-or-later

核验状态

登记资料已同步 · 功能未验证

即将离开本站。原站对数据的处理规则以其政策为准。